Other packages > Find by keyword >

rFIA  

Estimation of Forest Variables using the FIA Database
View on CRAN: Click here


Download and install rFIA package within the R console
Install from CRAN:
install.packages("rFIA")

Install from Github:
library("remotes")
install_github("cran/rFIA")

Install by package version:
library("remotes")
install_version("rFIA", "1.0.0")



Attach the package and use:
library("rFIA")
Maintained by
Hunter Stanke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-28
Latest Update: 2023-03-12
Description:
The goal of rFIA is to increase the accessibility and use of the United States Forest Services USFS Forest Inventory and Analysis FIA Database by providing a user-friendly open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives rFIA simplifies the estimation of forest variables from the FIA Database and allows all R users experts and newcomers alike to unlock the flexibility inherent to the Enhanced FIA design. Specifically rFIA improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages e.g. dplyr tidyr and sf facilitates efficient space-time query and data summary and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold Patterson 2005 doi10.2737SRS-GTR-80 and has been validated against estimates and sampling errors produced by FIA EVALIDator. Current development is focused on the implementation of spatially-enabled model-assisted estimators to improve population change and ratio estimates.
How to cite:
Hunter Stanke (2019). rFIA: Estimation of Forest Variables using the FIA Database. R package version 1.0.0, https://cran.r-project.org/web/packages/rFIA
Previous versions and publish date:
0.1.0 (2019-10-28 14:30), 0.1.1 (2019-11-12 18:30), 0.2.0 (2020-01-09 18:50), 0.2.1 (2020-04-03 21:20), 0.2.2 (2020-04-27 16:00), 0.2.3 (2020-05-17 00:30), 0.2.4 (2020-09-17 21:00), 0.3.0 (2020-12-07 18:30), 0.3.1 (2021-01-15 06:30), 0.3.2 (2021-06-10 17:20), 1.0.0 (2021-12-15 19:10)
Other packages that cited rFIA R package
View rFIA citation profile
Other R packages that rFIA depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
Deriv  
Symbolic Differentiation
R-based solution for symbolic differentiation. It admits user-defined function as well as function s ...
Download / Learn more Package Citations See dependency  
lgarch  
Simulation and Estimation of Log-GARCH Models
Simulation and estimation of univariate and multivariate log-GARCH models. The main functions of the ...
Download / Learn more Package Citations See dependency  
bulletr  
Algorithms for Matching Bullet Lands
Analyze bullet lands using nonparametric methods. We provide a reading routine for x3p files (see &l ...
Download / Learn more Package Citations See dependency  
buildr  
Organize & Run Build Scripts Comfortably
Working with reproducible reports or any other similar projects often require to run the script that ...
Download / Learn more Package Citations See dependency  

22,086

R Packages

187,731

Dependencies

55,244

Author Associations

22,087

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns